Articles tagged with Agricultural Forecasts
New research from the American Meteorological Society explores AI forecasting limits, the impact of climate change on hurricane trends, and simplifies the heat index. The studies find that machine learning can outperform numerical physics-based models in certain conditions, but not universally.
A mobile app developed by researchers from UNIGE and Agroscope helps winegrowers anticipate climate change impacts on their vineyards. The app uses climate analogues to identify regions with comparable climatic conditions in the future, allowing for the adoption of suitable viticultural practices.
Florida Atlantic University's FAU Engineering has received a $827,533 USD grant from the USDA to develop an advanced edge/fog computing-based framework called FogAg. This project aims to revolutionize precision agriculture by enabling real-time sensing and analysis of crop growth and yield.
A new digital tool provides free satellite monitoring and analysis of vegetation and crop health across Kansas and the nation. The Sentinel GreenReport Plus combines satellite imagery with climate datasets to provide users with insights into vegetation greenness, changes in land cover over time, and climate abnormalities.
An international team of agronomists calls for a new approach to estimate crop yield potential and gaps. Current statistical models rely on best-case scenarios and extrapolate a single yield potential across large regions, leading to conflicting results.
Michigan State University has received a grant to support students in agricultural economics research and career development opportunities. The funding will enable students to gain hands-on experience with real-world projects and collaborate with industry professionals.
Researchers at Loma Linda University found the Salton Sea's shoreline is retreating at an increasing rate, creating more polluted dust from agricultural runoff. The study forecasts parts of the North Shore will retreat up to 172 meters by 2041, posing health risks to nearby communities.
A recent study finds semi-natural habitats play a crucial role in conserving pollinator diversity, outpacing the impact of pesticide use. The research suggests that prioritizing habitat conservation can be more effective than reducing pesticide application in rice fields.
Researchers study droughts, wildfires, and precipitation changes across the US Southeast and globally. The Great Salt Lake's drying exacerbates regional droughts, while a Maui wildfire is linked to atmospheric patterns.
A new study by German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig found that climate change impacts ecosystems' multifunctionality, affecting soil health and biodiversity. Sustainable land management practices can enhance ecological and economic benefits under current and future climate conditions.
A new study found that removing hedgerows and field margins decreases the diversity and abundance of arthropods, which can lead to reduced natural pest control. The research suggests that using flowering plants in field margins and implementing agri-environmental measures can be effective ways to increase farmland biodiversity.
A new system using satellite data improves crop area and yield estimates, providing critical information for food security and sustainability planning. The WorldCereal project offers a cloud-based platform with diverse operational models to cater to various user communities.
Researchers at UC Santa Barbara's Climate Hazards Center have made significant advancements in predicting droughts and food shortages in the Eastern Horn of Africa, enabling agencies to take effective actions and provide humanitarian assistance. These early warnings have helped prevent devastating famines and saved millions of people f...
A new study from the University of Illinois forecasts how increased tile drainage and crop rotation will impact nitrogen loads in Midwestern watersheds. The research team developed a model that reveals the mechanism behind nitrate increases with flow, providing a starting point for reducing nutrient loss.
Researchers are using AI to assess soil datasets and measurements, aiming to build an automated data-driven decision support system for European soils. The goal is to create an effective soil health certification system that can be used by farmers, landowners, and policy makers.
The Aztecs tracked seasonal variations in weather by watching the sunrise against the peaks of the Sierra Nevada mountains. Their agricultural system accurately fed a population of up to 3 million people before the Spanish arrival.
Research reveals that sweet corn yields significantly decrease with extreme heat during flowering, especially in rainfed fields. Irrigation may help mitigate yield loss, but water scarcity could worsen climate-related challenges.
A Rutgers-led study estimates that a full-scale US-Russia nuclear war would cause global crop production to decline by up to 90% and lead to widespread starvation. This could result in over 5 billion people dying of hunger, with severe disruptions in global food markets.
A recent study by Xi'an Jiaotong-Liverpool University provides a method to help farmers and policymakers decide whether organic farming is beneficial for the environment. The researchers analyzed international studies to find a threshold where organic farming's biodiversity gain outweighs its land requirements.
Researchers found that wetter pre-growing seasons reduced soil nitrogen through leaching, but applying more fertilizer can mitigate this effect. The model also showed that cold pre-growing season temperatures limited early growth in ways that affected yield potential, making extra fertilizer less effective.
The UN Convention to Combat Desertification's Global Land Outlook 2 report warns that up to 40% of the planet's land is degraded, threatening half of humanity and roughly 1/2 of world GDP. The report offers hundreds of practical ways to restore land and ecosystem health.
European soybean production has significant economic and environmental advantages, including fixing nitrogen in the soil and reducing fertilizer use. Projections suggest that Europe can achieve 50-100% soybean self-sufficiency with a 2-6 times increase in cultivated land.
Researchers propose new statistical approaches to estimate climate change impacts on US agriculture, focusing on county-level analysis. They suggest that current grouping methods can lead to inaccurate results and recommend using C-Lasso, causal forest algorithm, and geographically weighted regressions.
Research suggests climate change will increase disease pressure in some regions and reduce it in others. Model projections indicate that rising temperatures will boost yields in temperate areas while having little effect on tropical regions.
A team of Penn State researchers developed a model that can accurately predict wind farm energy production and location. The model provides a probability curve for wind production, allowing companies to make informed decisions about investing in wind farms.
Developed by Zhang et al., the CS-WD-WNN model outperforms other models in wind speed prediction with high accuracy, providing essential data for wind farm operations.
Researchers at the University of Illinois have created a new method to predict US end-of-season corn yields, outperforming the USDA's current estimations. The new system uses a combination of seasonal climate prediction and satellite data for more accurate predictions.
A new water management framework developed by NC State University researchers can help plan for droughts or excess rain, making efficient use of water resources. By using climate forecasts, water managers can reduce vulnerability to drought and increase benefits for poor farming communities.
A new forecasting method predicts a significant rise in demand for anti-malarial treatments due to the loss of effectiveness of current medications. The method aims to ensure an adequate supply of effective drugs by accurately predicting future demand, particularly in Africa where malaria affects millions.
A study by University of Illinois researchers found that USDA corn production forecasts were more accurate than private forecasts during most periods, but had limited impact on prices. Private market forecasts improved significantly since the mid-1980s, outperforming USDA forecasts in August and other months.